An application in the automotive filed for the Genetic Learning Automata Fuzzy Classifier System is presented in this work. As a non-linear model free-based strategy, the major advantages of this approach are its modularity and its extensibility. A controller designed using this method for a quarter-car model is applied to a 6-DOF model giving a reasonable performance. Comparisons with the LQR controller are also carried out.
Genetic Learning Automata and Fuzzy Controller Applied to Active Suspension
Sae Technical Papers
SAE 2003 World Congress & Exhibition ; 2003
2003-03-03
Conference paper
English
Genetic learning automata and fuzzy controller applied to active suspension
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